Filters: Tags: Farming (X) > Types: Citation (X)
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To accurately estimate agricultural water use or to project future water demands, a detailed inventory of current irrigated crop acreage is needed at a high level of resolution. In many Florida counties this kind of detailed high-resolution inventory is not available. A detailed digital map and summary of irrigated acreage during the 2015 growing season was developed for 13 of the 15 counties that compose the Suwannee River Water Management District. The irrigated areas were delineated using land-use data, orthoimagery, water management district consumptive water-use permits, and digitized agricultural landuse maps developed by the Florida Department of Agriculture and Consumer Services, Florida Statewide Agricultural...
Categories: Data;
Types: Citation;
Tags: Alachua County,
Bradford County,
Columbia County,
Crop type,
Dixie County,
This dataset depicts the percentage of local catchment land area described as crop in the National Land Cover Database (NLCD) 2011.
Categories: Data;
Types: ArcGIS REST Map Service,
ArcGIS Service Definition,
Citation,
Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Academics & scientific researchers,
AppLCC,
AppLCC,
Appalachian,
Conservation NGOs,
The US Department of Agriculture (USDA) National Agricultural Statistics Service (NASS) and the USDA Census of Agriculture (completed every five years, most recently in 2012) are primary sources of regionally detailed data concerning the productivity, economics, land use, and multiple other characteristics of agriculture and ranching in the United States. The county-level data on farmland irrigation provides one example of the many ways in which agriculture impacts, and is impacted by, natural resource availability and sustainability. This featured dataset is acres irrigated in farmlands, 2012. Available at: www.agcensus.usda.gov/Publications/2012/</pre>
Categories: Data;
Types: ArcGIS REST Map Service,
ArcGIS Service Definition,
Citation,
Downloadable,
Map Service;
Tags: Academics & scientific researchers,
AppLCC,
AppLCC,
Appalachian,
Conservation NGOs,
Dataset contains locations of subsurface drainage tile permits in North Dakota obtained from the North Dakota State Water Commission as of February 2016. This dataset was updated on 4 August 2016 with additional subsurface drainage permits and supersedes the previous version. Date range of permits (Start & End Dates) in this version has changed from previous version because of the following criteria. Permit applications that were marked as "approved" by the State Water Commission were retained in this dataset, all other status types (e.g., pending, denied) were removed. This dataset provides the latitude, longitude, and polygon outline of the location given on the permit, which is not provided by the State Water...
Categories: Data;
Types: Citation,
Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: EARTH SCIENCE>AGRICULTURE>AGRICULTURAL ENGINEERING>AGRICULTURAL EQUIPMENT,
EARTH SCIENCE>TERRESTRIAL>HYDROSPHERE>SURFACE WATER DRAINAGE,
North Dakota,
agricultural drainage,
agricultural water use,
Dataset contains locations of drainage tile permits in North Dakota obtained from the State Water Commission as of October 2013. This dataset provides the latitude and longitude of the location given on the permit, which is not provided by the State Water Commission database. Additionally, overlap of permit polygons (if depicted in a geospatial application) is possible from two permits that share the same area. Permit applications that were marked as denied or that did not require a permit as determined by the State Water Commission were removed from this database.
Categories: Data,
Publication;
Types: Citation,
Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: EARTH SCIENCE AGRICULTURE AGRICULTURAL ENGINEERING AGRICULTURAL EQUIPMENT,
EARTH SCIENCE TERRESTRIAL HYDROSPHERE SURFACE WATER DRAINAGE,
North Dakota,
agricultural drainage,
agricultural water use,
This raster dataset depicts percent canopy cover derived from 1-m conifer classifications. Conifer features were classified from 2010, 2012, and 2013 NAIP Digital Ortho Quarter Quads (DOQQ) using the Feature Analyst 5.0 extension for ArcGIS 10.1. Tiles were organized and grouped by Nevada Department of Wildlife Bi-State Population Management Unit (PMU) locations, plus a 10 km area beyond the PMU extent. Analysts visually identified conifers in the imagery using false color infrared settings and digitized multiple trees per tile as training locations for classification. After performing hierarchical learning and clutter removal with Feature Analyst to remove non-conifer features on output shapefiles, the conifer...
Types: Citation,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Biota,
California,
Conifers,
Environment,
Great Basin,
Table 3. Reported and inventoried crop and irrigated acreage in Okaloosa County, Florida, 1974–2016.
A detailed inventory of irrigated crop acreage is not available at the level of resolution needed to accurately estimate agricultural water-use or to project future water demands in many Florida counties. A detailed summary table of irrigated acreage for the 2016 growing season was developed for Okaloosa County by the U.S. Geological Survey (USGS) and includes totals of acreage by irrigation system. It also provides a comparison between published acreage totals for previous years by the U.S. Department of Agriculture (USDA) Census of Agriculture and those determined from the 2016 inventory. The irrigated acreage estimated by the USGS for the2016 inventory was 351 acres.
Categories: Data;
Types: Citation;
Tags: Crop type,
Environment,
Florida,
Florida Department of Agriculture and Consumer Service,
Groundwater,
Historical (1984-2014) Landsat-based ET maps were generated for Palo Verde Irrigation District (PVID) and eight other sub-basins in parts of Middle and Lower Central Valley, California. A total of 3,396 Landsat images were processed using the Operational Simplified Surface Energy balance (SSEBop) model that integrates weather and remotely sensed images to estimate monthly and annual ET within the study areas over the 31 years. Model output evaluation and validation using gridded-flux data and water balance ET approaches indicated relatively strong association between SSEBop ET and validation datasets. Historical trend analysis of seven agro-hydrologic variables were done using the Seasonal Mann-Kendall test.
This record describes a series of comma separated files containing mean rates of monthly total nitrogen (TN), ammonium (NH4), and nitrate atmospheric (NO3) wet deposition attributed to NHDPlus version 2 (NHDv2, Moore and Dewald, 2016)) catchments for the period of record, October, 2006 to September, 2017. Units are in kilograms per square kilometer (kg/km2).
To accurately estimate agricultural water use or to project future water demands, a detailed inventory of current irrigated crop acreage is needed at a high level of resolution. In many Florida counties this kind of detailed high-resolution inventory is not available. A detailed digital map and summary of irrigated acreage during the 2015 growing season was developed for 13 of the 15 counties that compose the Suwannee River Water Management District. The irrigated areas were delineated using land-use data, orthoimagery, water management district consumptive water-use permits, and digitized agricultural landuse maps developed by the Florida Department of Agriculture and Consumer Services, Florida Statewide Agricultural...
Categories: Data;
Types: Citation;
Tags: Alachua County,
Bradford County,
Columbia County,
Crop type,
Dixie County,
These data represent the extent and spatial distribution of irrigated acreage delineated from maximum Normalized Difference Vegetation Index (NDVI) derived from Landsat scenes in the Walker River Basin, California and Nevada, at five-year intervals from 1975-2010. The field boundaries in this data set are digitized from one-year composite maximum NDVI data derived from atmospherically corrected Landsat 2 Multispectral Scanner (MSS), Landsat 5 MSS, and Landsat 5 Thematic Mapper (TM) scenes. NDVI was calculated from the corrected reflectance data for each selected scene during the growing season (May through early October) and a single, composite image of maximum NDVI values was derived for each 5-year interval. Selecting...
Categories: Data;
Types: Citation,
Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service,
Shapefile;
Tags: Antelope Valley,
Bridgeport Reservoir,
California,
Douglas County,
East Walker Area,
HEM events were created from fish screens, stream gages, and surface water diversions within the Lemhi SubBasin in Idaho. Data was gathered from the following sources: Idaho Fish and Game, Idaho Power, Idaho Water Engineering, and Idaho Water Resources Water Rights. The data assembled represented fish screens, water withdrawals from the stream, and flow gauging stations.
Categories: Data;
Types: ArcGIS REST Map Service,
ArcGIS Service Definition,
Citation,
Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: HEM,
HEM,
NHD,
Point Event,
environment,
Dataset contains locations of drainage tile permits in South Dakota obtained from County and Local Water Board records. The counties included are: Brown, Deuel, Grant, Hamlin, Hanson, Kingsbury, Lake, McCook, Minnehaha, Moody, Roberts, Spink, and Turner. The date permits records were collected vary by county. A majority of the permits from counties were collected as of January 2012. Two counties (Hanson and Minnehaha) were updated in December,2013. In addition to the location (as a TRS) and available (if given)pipe information recorded on the permit, this dataset provides the latitude and longitude of the location given on the permit, which is not typically provided on the permit application or record. Additionally,...
Categories: Data,
Publication;
Types: Citation,
Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: EARTH SCIENCE AGRICULTURE AGRICULTURAL ENGINEERING AGRICULTURAL EQUIPMENT,
EARTH SCIENCE TERRESTRIAL HYDROSPHERE SURFACE WATER DRAINAGE,
South Dakota,
agricultural drainage,
agricultural water use,
Brief updates from the project website.
Categories: Data,
Publication;
Types: Citation;
Tags: Academics & scientific researchers,
Academics & scientific researchers,
Completed,
Data Acquisition and Development,
Document,
We developed a screening system to identify introduced plant species that are likely to increase wildfire risk, using the Hawaiian Islands to test the system and illustrate how the system can be applied to inform management decisions. Expert-based fire risk scores derived from field experiences with 49 invasive species in Hawai′i were used to train a machine learning model that predicts expert fire risk scores from among 21 plant traits obtained from literature and databases. The model revealed that just four variables can identify species categorized as higher fire risk by experts with 90% accuracy, while low risk species were identified with 79% accuracy. We then used the predictive model to screen 365 naturalized...
Categories: Data,
Publication;
Types: Citation,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Hawaii,
farming,
fire,
fire risk,
flammability,
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